@inproceedings{3030e9509ce742a6869c61c6c3531a26,
title = "Thumbs up: 3D gesture input on mobile phones using the front facing camera",
abstract = "We use the front facing camera in a smart phone to capture gesture input. Thumb gestures performed above the camera are recognized and used to invoke commands. In contrast to other input modalities the camera requires no device movements and no valuable screen space is used. To be viable, this type of interaction requires gestures which are comfortable and memorable for the user and real-time accurate recognition of those gestures. Given the performance constraints of phones and their cameras we needed to determine whether accurate and reliable recognition is possible and identify types of gestures that are recognizable and user appropriate. As a proof of concept, we conducted a user study testing three gestures for performance and user satisfaction. The results demonstrate that the 3D gestural input is successful and we provide detailed insights into successful recognition strategies for this novel interaction modality.",
keywords = "image recognition, mobile interaction, Motion gestures",
author = "Paul Schmieder and John Hosking and Andrew Luxton-Reilly and Beryl Plimmer",
year = "2013",
doi = "10.1007/978-3-642-40480-1_20",
language = "English",
isbn = "9783642404795",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 2",
pages = "318--336",
booktitle = "Human-Computer Interaction, INTERACT 2013 - 14th IFIP TC 13 International Conference, Proceedings",
edition = "PART 2",
note = "14th IFIP TC 13 International Conference on Human-Computer Interaction, INTERACT 2013 ; Conference date: 02-09-2013 Through 06-09-2013",
}